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Canopy (ML Engine)
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Simple, fast, accurate function for grouping objects into preliminary clusters. Often used as an initial step in more rigorous clustering techniques, such as k-means. |
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MinHash (ML Engine)
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Probabilistic clustering method that assigns a pair of users to the same cluster with probability proportional to the overlap between the sets of items that these users have bought. |
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Modularity (ML Engine)
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Discovers communities (clusters) in input graphs without advance information about the clusters. Detects communities by discovering the strength of relationships among data points. |
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Gaussian Mixture Model Functions (ML Engine)
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Fit a Gaussian mixture model (GMM) to input data, using either a basic GMM algorithm with a fixed number of clusters or a Dirichlet Process GMM (DP-GMM) algorithm with a variable number of clusters. |
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KMeans Functions (ML Engine)
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Create and use model that is table of cluster centroids. Optionally output clusters themselves. |
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KModes Functions (ML Engine)
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Extends KMeans functions to support categorical data. |